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A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control

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A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control

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dc.contributor.author Soler Fernández, David es_ES
dc.contributor.author Sanz, María T. es_ES
dc.contributor.author Caselles, Antonio es_ES
dc.contributor.author Micó, Joan C. es_ES
dc.date.accessioned 2019-06-01T20:02:17Z
dc.date.available 2019-06-01T20:02:17Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0377-0427 es_ES
dc.identifier.uri http://hdl.handle.net/10251/121426
dc.description.abstract [EN] This paper presents a stochastic dynamic mathematical model to study the evolution of the unemployment rate and other relevant related variables in a country. This model is composed by three basic interrelated subsystems: demographic, economic and wellbeing ones. A key aspect of this model is that it considers three UN well-being variables simultaneously: Human Development Index, Gender Empowerment Index and Gender Differentiation Index. These variables involve key concepts for human development, as Health, Education, Economy and Female Labor. With this model, the most outstanding variables found in the literature in relation with unemployment control can be used to design strategies and scenarios to reduce the unemployment rate in the future. The model has been fitted for the case of Spain in the 2002¿2014 period, the largest one with information about all the variables involved in the model. Finally, several tentative scenarios and strategies have been tested to reduce the unemployment rate in Spain in the horizon of year 2025, and the corresponding forecast evolution of the Gender Differentiation Index, National income per capita, Public debt and the ratio between Public debt and Gross domestic product are shown. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Computational and Applied Mathematics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Unemployment rate es_ES
dc.subject United Nations well-being variables es_ES
dc.subject Sex/age-structured population dynamics es_ES
dc.subject Stochastic model es_ES
dc.subject Forecasting es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cam.2017.04.033 es_ES
dc.rights.accessRights Embargado es_ES
dc.date.embargoEndDate 2020-03-01 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Soler Fernández, D.; Sanz, MT.; Caselles, A.; Micó, JC. (2018). A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control. Journal of Computational and Applied Mathematics. 330:1063-1080. https://doi.org/10.1016/j.cam.2017.04.033 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.cam.2017.04.033 es_ES
dc.description.upvformatpinicio 1063 es_ES
dc.description.upvformatpfin 1080 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 330 es_ES
dc.relation.pasarela 345709 es_ES


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